State-of-the-art system identification methods for
Table of Contents
Preface to the First Edition
Preface to the Second Edition
Acknowledgments
List of Operators and Notational Conventions
List of Symbols
List of Abbreviations
Chapter 1 An Introduction to Identification
Chapter 2 Measurement of Frequency Response Functions – Standard Solutions
Chapter 3 Frequency Response Function Measurements in the Presence of Nonlinear Distortions
Chapter 4 Detection, Quantification, and Qualification of Nonlinear Distortions in FRF Measurements
Chapter 5 Design of Excitation Signals
Chapter 6 Models of Linear Time-Invariant Systems
Chapter 7 Measurement of Frequency Response Functions – The Local Polynomial Approach
Chapter 8 An Intuitive Introduction to Frequency Domain Identification
Chapter 9 Estimation with Know Noise Model
Chapter 10 Estimation with Unknown Noise Model – Standard Solutions
Chapter 11 Model Selection and Validation
Chapter 12 Estimation with Unknown Noise Model – The Local Polynomial Approach
Chapter 13 Basic Choices in System Identification
Chapter 14 Guidelines for the User
Chapter 15 Some Linear Algebra Fundamentals
Chapter 16 Some Probability and Stochastic Convergence Fundamentals
Chapter 17 Properties of Least Squares Estimators with Deterministic Weighting
Chapter 18 Properties of Least Squares Estimators with Stochastic Weighting
Chapter 19 Identification of Semilinear Models
Chapter 20 Identification of Invariants of (Over) Parameterized Models
References
Subject Index
Author Index
About the Authors
